Shaymaa Al‐Shukri

Business Intelligence Analyst

UAMS

Staff Researcher

5 h-index 8 pubs 181 cited

Research Areas

Biomedical Subjects

Links

ORCID Lab Website Research Group

OverviewAI-generated summary

Shaymaa Al‐Shukri's research centers on data management and analysis within health sciences, with a particular focus on the COVID-19 pandemic and its implications. Her work involves developing and annotating clinical datasets, including discharge summaries and imaging archives, to facilitate translational research and improve data quality. She has contributed to projects aimed at linking disparate data sources, such as the Cancer Imaging Archive and GenBank, to the National Clinical Cohort Collaborative. Al‐Shukri has also investigated strategies for data quality in centralized and federated systems, highlighting the importance of robust data infrastructure. Her scholarship metrics include an h-index of 5 with 8 total publications and 178 citations. She collaborates with researchers at the University of Arkansas for Medical Sciences and Arkansas State University.

Metrics

h-index: 5
Publications: 8
Citations: 181

Selected Publications

Linking <i>The Cancer Imaging Archive</i> and <scp>GenBank</scp> to the <scp>National Clinical Cohort Collaborative</scp> (2024)

Learning Health Systems DOI OpenAlex
TAX-Corpus: Taxonomy based Annotations for Colonoscopy Evaluation (2022)

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies 1 citation DOI OpenAlex
DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool (2021)

Studies in health technology and informatics 9 citations DOI OpenAlex
Chest imaging representing a COVID-19 positive rural U.S. population (2020)

Scientific Data 59 citations DOI OpenAlex
Toolkit to Compute Time-Based Elixhauser Comorbidity Indices and Extension to Common Data Models (2020)

Healthcare Informatics Research 12 citations DOI OpenAlex
Agile Natural Language Processing Model for Pathology Knowledge Extraction and Integration with Clinical Enterprise Data Warehouse (2019)

5 citations DOI OpenAlex
Factors Associated with Increased Adoption of a Research Data Warehouse (2019)

Studies in health technology and informatics 17 citations DOI OpenAlex